docker-compose.search.yml

# Optional add-on: AI Vector Search (Beta)
#
# Search is NOT part of the default deployment. It adds a Qdrant service and
# makes the app download ~600 MB of CLIP and face-recognition model weights on
# the first index run, which most archives do not need.
#
# Enable it by layering this file over the base compose:
#   docker compose -f docker-compose.yml -f docker-compose.search.yml up -d
#
# Disable it again by dropping the second -f and recreating:
#   docker compose -f docker-compose.yml up -d --remove-orphans
#
# See docs/features/ai-vector-search.md

services:
  app:
    environment:
      # Presence of QDRANT_URL is what switches the feature on.
      - QDRANT_URL=http://qdrant:6333
      - QDRANT_API_KEY=${QDRANT_API_KEY:-}
      - QDRANT_PORT=${QDRANT_PORT:-6335}
    volumes:
      # Model weights are downloaded once and cached here, so restarts and
      # image upgrades do not re-fetch them.
      - model_cache:/app/node_modules/@huggingface/transformers/.cache
    depends_on:
      qdrant:
        condition: service_healthy

  qdrant:
    image: qdrant/qdrant:v1.13.4
    container_name: instagram_saved_posts_qdrant
    restart: unless-stopped
    ports:
      # Bound to loopback: the API has no authentication unless you set
      # QDRANT__SERVICE__API_KEY, so it must never be published on 0.0.0.0.
      - "127.0.0.1:${QDRANT_PORT:-6335}:6333"
    volumes:
      - qdrant_data:/qdrant/storage
    ulimits:
      nofile:
        soft: 65535
        hard: 65535
    healthcheck:
      test: ["CMD-SHELL", "bash -c ': >/dev/tcp/127.0.0.1/6333' || exit 1"]
      interval: 5s
      timeout: 5s
      retries: 10
      start_period: 2s

volumes:
  qdrant_data:
    name: instagram_saved_posts_qdrant_data
  model_cache:
    name: instagram_saved_posts_model_cache